There are many projects that call out for a custom language parser. If you need something standard, you can probably lift the code from someplace on the Internet. If you need something custom, you ...

Google today is announcing that it’s open-sourcing pre-trained models for parsing text in 40 languages. Think of it as an extension of Google’s decision in May to open-source the interestingly named ...

Boaty McBoatface, meet Parsey McParseface. Okay, so Boaty McBoatface never actually became the name of the British government's new polar research vessel, but that didn't stop tech giant Google from ...

Understanding human language is easy for humans -- not so for machines. Making them understand human sentences is one of the biggest challenges in today's field of artificial intelligence (AI). Now, ...

Computers find it difficult to understand the English language. This is where Google's Parsey McParseface comes in. The U.S. search giant is releasing the code, a piece of software called SyntaxNet ...

As much as we love to fawn over artificial intelligence (AI), it’s still not great at recognizing and parsing natural language. That’s why Google is open sourcing its new language parsing model for ...

Google today is open-sourcing SyntaxNet, a piece of natural-language understanding (NLU) software that you can use to automatically parse sentences, as part of its TensorFlow open source machine ...

One of the Todoist features I miss the most as a Things user is the service’s natural language parser. Available in the Quick Add field of Todoist for iOS, web, and macOS, this feature is, effectively ...

Is there a "standard" algorithm for parsing a mark-up language? I have a <I>very</I> simple markup language that I am tring to parse for use in a project I am working on. The ML only has a few valid ...